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w2v-bert-2.0-mt-CV17.0 – AI Model by AigizK | AlphaNeural AI
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AigizK
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w2v-bert-2.0-mt-CV17.0
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safetensors
wav2vec2-bert
generated_from_trainer
mt
common_voice_17_0
facebook/w2v-bert-2.0
finetune
mit
us
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w2v-bert-2.0-mt-CV17.0
This model is a fine-tuned version of
facebook/w2v-bert-2.0
on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
eval_loss: 0.1031
eval_wer: 0.0656
eval_runtime: 35.2573
eval_samples_per_second: 16.309
eval_steps_per_second: 2.042
epoch: 7.0278
step: 2400
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 300
num_epochs: 10
mixed_precision_training: Native AMP
Framework versions
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
